Evidence map›Paper›PMID 42210917›Full record

Articlenpj natural hazards2026

Urban emissions and expansion intensify extreme precipitation and flood susceptibility in Texas.

Giacomo Moraglia, Mohamed Aboelnour, Paola Crippa

Abstract read
In one paragraph

Article in npj natural hazards, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Giacomo MoragliaDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN USA.
Mohamed AboelnourDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN USA.
Paola CrippaDepartment of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Texas Triangle is rapidly expanding and increasingly vulnerable to extreme rainfall and floods. Using the Weather Research and Forecasting model coupled with chemistry (WRF-Chem), we simulate a cold-season frontal storm and a prolonged warm-season event, comparing a present-day configuration with an end-of-century urban-expansion scenario consistent with Shared Socioeconomic Pathway 5 projections. Across scenarios, meteorological boundary conditions are held fixed, while urban land cover is expanded and anthropogenic emissions are enhanced accordingly. In the cold-season case, urban growth enhances activation of fine-mode cloud condensation nuclei, strengthens updrafts, and produces statistically significant precipitation increases over San Antonio and Austin. In the warm-season case, the response is heterogeneous, with early enhancement on the western side of Dallas-Fort Worth followed by suppression eastward as the system evolves. Flood-risk analysis, based on the model-diagnosed runoff coefficient and a high-resolution stochastic framework (SCS-CN), reveals a systematic expansion of high-risk zones under future urbanization, amplifying existing runoff hotspots and generating new ones across metropolitan areas. Overall, the consistency between the WRF-Chem runoff diagnostics and the stochastic SCS-CN framework supports the use of WRF-Chem as a first-order, spatially explicit indicator of relative urban flood risk under extreme precipitation.

Indexed as

Climate sciencesEnvironmental sciencesNatural hazards

Identifiers

PMID42210917
PMCPMC13212150

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.